"This keynote lecture invited a professor from the College of Human Medicine at Michigan State University to discuss the application of Bayesian methods in statistical inference. Associate Professor Chang introduced Bayesian concepts and practical cases in an accessible manner, guiding us to move beyond traditional frequentist thinking and re-examine the relationship between data and uncertainty. This methodology holds significant potential for application in educational research and policy evaluation, providing a fresh perspective for empirical studies."